Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models

7 January 2018

Papers citing "Gradient Layer: Enhancing the Convergence of Adversarial Training for Generative Models"

5 / 5 papers shown

Title
Nested Annealed Training Scheme for Generative Adversarial Networks Chang Wan Ming-Hsuan Yang Minglu Li Yunliang Jiang Zhonglong Zheng GAN 38 0 0 20 Jan 2025
Particle-based Variational Inference with Preconditioned Functional Gradient Flow Hanze Dong Xi Wang Yong Lin Tong Zhang 22 19 0 25 Nov 2022
A new method for determining Wasserstein 1 optimal transport maps from Kantorovich potentials, with deep learning applications Tristan Milne Étienne Bilocq A. Nachman OT 20 3 0 02 Nov 2022
Deep Generative Learning via Variational Gradient Flow Yuan Gao Yuling Jiao Yang Wang Yao Wang Can Yang Shunkang Zhang 19 36 0 24 Jan 2019
Functional Gradient Boosting based on Residual Network Perception Atsushi Nitanda Taiji Suzuki 25 25 0 25 Feb 2018